A quantitative method using one marker for simultaneous assay of steroidal saponins in rhizoma paridis

Current quality control patterns are limited to industrial application, for most the natural chemical reference substances are expensive and unavailable. Here in, quantitative analysis of multi-components with single marker (QAMS) method, is established and validated to simultaneously determine five steroidal saponins (Paris-VII, Paris-H, Paris-II, Dioscin , Paris-I) in Rhizoma Paridis. Using Paris-I as the contrast, the relative correction factors (RCF) of the other four steroidal saponins are determined by HPLC-UV. With in the linear ranges, the values of RCF of Paris-I to Paris-VII, Paris-H, Paris-II and Dioscin are 0.877, 1.087, 0.975 and 1.127, respectively. The RCF has a good reproducibility in various instruments, chromatographic columns (RSD = 0.88 % ~ 4.52 %). According to their RCF, five steroidal saponins are simultaneously determined in Rhizoma Paridis by one marker.Colegio de Farmacéuticos de la Provincia de Buenos Aire

A quantitative method using one marker for simultaneous assay of steroidal saponins in rhizoma paridis

Current quality control patterns are limited to industrial application, for most the natural chemical reference substances are expensive and unavailable. Here in, quantitative analysis of multi-components with single marker (QAMS) method, is established and validated to simultaneously determine five steroidal saponins (Paris-VII, Paris-H, Paris-II, Dioscin , Paris-I) in Rhizoma Paridis. Using Paris-I as the contrast, the relative correction factors (RCF) of the other four steroidal saponins are determined by HPLC-UV. With in the linear ranges, the values of RCF of Paris-I to Paris-VII, Paris-H, Paris-II and Dioscin are 0.877, 1.087, 0.975 and 1.127, respectively. The RCF has a good reproducibility in various instruments, chromatographic columns (RSD = 0.88 % ~ 4.52 %). According to their RCF, five steroidal saponins are simultaneously determined in Rhizoma Paridis by one marker.Colegio de Farmacéuticos de la Provincia de Buenos Aire

A quantitative method using one marker for simultaneous assay of steroidal saponins in rhizoma paridis

Current quality control patterns are limited to industrial application, for most the natural chemical reference substances are expensive and unavailable. Here in, quantitative analysis of multi-components with single marker (QAMS) method, is established and validated to simultaneously determine five steroidal saponins (Paris-VII, Paris-H, Paris-II, Dioscin , Paris-I) in Rhizoma Paridis. Using Paris-I as the contrast, the relative correction factors (RCF) of the other four steroidal saponins are determined by HPLC-UV. With in the linear ranges, the values of RCF of Paris-I to Paris-VII, Paris-H, Paris-II and Dioscin are 0.877, 1.087, 0.975 and 1.127, respectively. The RCF has a good reproducibility in various instruments, chromatographic columns (RSD = 0.88 % ~ 4.52 %). According to their RCF, five steroidal saponins are simultaneously determined in Rhizoma Paridis by one marker.Colegio de Farmacéuticos de la Provincia de Buenos Aire

Separation and purification of effective constituents of Rhizoma Paridis saponins by serum pharmacochemistry guiding

Oral administration to rats of Rhizoma Paridis saponins (RPS) from Paris polyphylla var. yunnanensis extracts have been found to show strong anti-tumor activity, but the effective constituents were not known. To detail the effective components in RPS, we investigated the serum pharmacochemistry after oral administration of RPS and detected eight kinds of Paridis saponins in the rat serum. Then we purposefully purified a mixture (PM) from RPS to further research. By comparison of tumor weight, spleen index, antitumor rate and numbers of metastases, PM showed a considerable activity as RPS. In conclusion, the serum pharmacochemistry can help us purposefully to separate and purify RPS and to obtain a potential antitumor agent which may be better than parent drugs.Colegio de Farmacéuticos de la Provincia de Buenos Aire

Cloud White: Detecting and Estimating QoS Degradation of Latency-Critical Workloads in the Public Cloud

[EN] The increasing popularity of cloud computing has forced cloud providers to build economies of scale to meet the growing demand. Nowadays, data-centers include thousands of physical machines, each hosting many virtual machines (VMs), which share the main system resources, causing interference that can significantly impact on performance. Frequently, these data-centers run latency-critical workloads, whose performance is determined by tail latency, which is very sensitive to the interference of co-running workloads. To prevent QoS violations, cloud providers adopt overprovisioning strategies but they reduce the server utilization and increase the costs. A mechanism that accurately estimates performance degradation dynamically in a production system would allow cloud providers to improve the servers' utilization. In this work we propose Cloud White, an approach that is able to detect the inter-VM interference in scenarios with multiple co-located latency-critical VMs and estimate the performance degradation using multi-variable regression models. Unlike previous proposals, Cloud White is built taking into account the limitations of a public cloud production system. Experimental results show that Cloud White is able to estimate performance degradation with a small overall prediction error of 5%.This work has been supported by Huawei Cloud, and in part by Spanish Ministerio de Universidades under grant FPU18/01948, and by Spanish Ministerio de Universidades and European ERDF under grants RTI2018-098156-B-C51 and PID2021-123627OB-C51. Funding for open access charge: CRUE-Universitat Politec-nica de Valencia.Pons-Escat, L.; Feliu-Pérez, J.; Sahuquillo Borrás, J.; Gómez Requena, ME.; Petit Martí, SV.; Pons Terol, J.; Huang, C. (2023). Cloud White: Detecting and Estimating QoS Degradation of Latency-Critical Workloads in the Public Cloud. Future Generation Computer Systems. 138:13-25. https://doi.org/10.1016/j.future.2022.08.012132513

Evaluation of Retinal Nerve Fiber Layer and Ganglion Cell Complex in Patients with Optic Neuritis or Neuromyelitis Optica Spectrum Disorders Using Optical Coherence Tomography in a Chinese Cohort

We evaluate a cohort of optic neuritis and neuromyelitis optica (NMO) spectrum disorders patients in a territory hospital in China. The peripapillary retinal nerve fiber layer (RNFL) and macular ganglion cell complex (GCC) were measured using spectral-domain OCT after 6 months of acute onset. The results showed that both the peripapillary RNFL and macular GCC were significantly thinner in all optic neuritis subtypes compared to controls. In addition, the recurrent optic neuritis and NMO groups showed more severe damage on the RNFL and GCC pattern

Effect of Hyper-Threading in Latency-Critical Multithreaded Cloud Applications and Utilization Analysis of the Major System Resources

[EN] Multithreaded latency-critical applications represent an important subset of workloads running on public cloud systems. Most of these systems deploy powerful computing servers including Intel Hyper-Threading processors. Understanding how performance is affected by the consumption of the main system resources is a major concern for cloud providers in order to devise virtualization strategies that improve the system efficiency. With this aim, this paper first characterizes the impact of QPS on tail latency, analyzing different scenarios varying the number of threads and the thread-to-core allocation (single-task and multi-task execution) policy. The characterization study reveals that the performance of some applications does not scale with the number of threads, and the performance of some others is insensitive to the Hyper-Threading technology, so they can be allocated in less physical cores and improve system utilization. Identifying these applications, however, at run-time is challenging. Despite identifying these applications at run-time is challenging, this paper shows that they can be successfully detected at run-time by analyzing the utilization trend of the major system resources. In addition to CPU, we have also studied how assigning the share of each application of other major shared system resources impacts on performance. We outline considerations cloud providers should take into account to improve performance and resource utilization.Acknowledgments This work has been supported by Huawei Cloud, and in part by Spanish Ministerio de Universidades under grant FPU18/01948, and by Spanish Ministerio de Universidades and European ERDF under grant RTI2018-098156-B-C51.Pons-Escat, L.; Feliu-Pérez, J.; Puche-Lara, J.; Huang, C.; Petit Martí, SV.; Pons Terol, J.; Gómez Requena, ME.... (2022). Effect of Hyper-Threading in Latency-Critical Multithreaded Cloud Applications and Utilization Analysis of the Major System Resources. Future Generation Computer Systems. 131:194-208. https://doi.org/10.1016/j.future.2022.01.02519420813

Metformin Uniquely Prevents Thrombosis by Inhibiting Platelet Activation and mtDNA Release

Thrombosis and its complications are the leading cause of death in patients with diabetes. Metformin, a first-line therapy for type 2 diabetes, is the only drug demonstrated to reduce cardiovascular complications in diabetic patients. However, whether metformin can effectively prevent thrombosis and its potential mechanism of action is unknown. Here we show, metformin prevents both venous and arterial thrombosis with no significant prolonged bleeding time by inhibiting platelet activation and extracellular mitochondrial DNA (mtDNA) release. Specifically, metformin inhibits mitochondrial complex I and thereby protects mitochondrial function, reduces activated platelet-induced mitochondrial hyperpolarization, reactive oxygen species overload and associated membrane damage. In mitochondrial function assays designed to detect amounts of extracellular mtDNA, we found that metformin prevents mtDNA release. This study also demonstrated that mtDNA induces platelet activation through a DC-SIGN dependent pathway. Metformin exemplifies a promising new class of antiplatelet agents that are highly effective at inhibiting platelet activation by decreasing the release of free mtDNA, which induces platelet activation in a DC-SIGN-dependent manner. This study has established a novel therapeutic strategy and molecular target for thrombotic diseases, especially for thrombotic complications of diabetes mellitus